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An Approach to Reducing Bus Bunching

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  • Pilachowski, Joshua Michael
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    Abstract

    The tendency of buses to bunch is a problem that was defined almost 50 years ago. Since then, there has been a significant amount of work done on the problem; however, the tendency of the current literature is either to only focus on the surface causes or to rely on simulation to create results instead of model formulation. With GPS installed on many buses throughout the world, the data is only being used for monitoring and informing the user. This research proposes a new approach to solving the problem that uses the GPS data to directly counteract the cause of the bunching by allowing the buses to cooperate with each other and determine their speed based on relative position. A continuum approximation model is presented as a tool to systematically analyze the behavior of the system and test the proposed control. In order to validate the model and the control, a simulation tool is used to model the system in a more realistic, discrete way. The control is shown to produce bounded deviations in spacing consistent with those predicted by the model. The resulting bus system will not bunch with only a small reduction in commercial speed.

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    Bibliographic Info

    Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt6zc5j8xg.

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    Date of creation: 01 Dec 2009
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    Handle: RePEc:cdl:uctcwp:qt6zc5j8xg

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    Keywords: Engineering; Other Civil and Environmental Engineering;

    References

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    1. Daganzo, Carlos F., 2009. "A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 43(10), pages 913-921, December.
    2. Herbert Mohring & John Schroeter & Paitoon Wiboonchutikula, 1987. "The Values of Waiting Time, Travel Time, and a Seat on a Bus," RAND Journal of Economics, The RAND Corporation, The RAND Corporation, vol. 18(1), pages 40-56, Spring.
    3. Strathman, James G. & Hopper, Janet R., 1993. "Empirical analysis of bus transit on-time performance," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 27(2), pages 93-100, April.
    4. Rossetti, Manuel D. & Turitto, Timothy, 1998. "Comparing static and dynamic threshold based control strategies," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 32(8), pages 607-620, November.
    5. Dessouky, Maged & Hall, Randolph & Zhang, Lei & Singh, Ajay, 2003. "Real-time control of buses for schedule coordination at a terminal," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 37(2), pages 145-164, February.
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    Cited by:
    1. Daganzo, Carlos F. & Pilachowski, Josh, 2011. "Reducing bunching with bus-to-bus cooperation," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 45(1), pages 267-277, January.
    2. Sivakumaran, Karthikgeyan & Li, Yuwei & Cassidy, Michael J. & Madanat, Samer, 2010. "Cost-Saving Properties of Schedule Coordination in a Simple Trunk-and-Feeder Transit System," University of California Transportation Center, Working Papers, University of California Transportation Center qt9qr8s3hx, University of California Transportation Center.

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